An overview of online fake news: Characterization, detection, and discussion

X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

A review of deep learning with special emphasis on architectures, applications and recent trends

S Sengupta, S Basak, P Saikia, S Paul… - Knowledge-Based …, 2020 - Elsevier
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …

Gcn-based user representation learning for unifying robust recommendation and fraudster detection

S Zhang, H Yin, T Chen, QVN Hung, Z Huang… - Proceedings of the 43rd …, 2020 - dl.acm.org
In recent years, recommender system has become an indispensable function in all e-
commerce platforms. The review rating data for a recommender system typically comes from …

Intelligent fake reviews detection based on aspect extraction and analysis using deep learning

G Bathla, P Singh, RK Singh, E Cambria… - Neural Computing and …, 2022 - Springer
In the era of social networking and e-commerce sites, users provide their feedback and
comments in the form of reviews for any product, topic, or organization. Due to high influence …

Fake review detection on online E-commerce platforms: a systematic literature review

H Paul, A Nikolaev - Data Mining and Knowledge Discovery, 2021 - Springer
The increasing popularity of online review systems motivates malevolent intent in competing
sellers and service providers to manipulate consumers by fabricating product/service …

Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review

A Qazi, N Hasan, R Mao, MEM Abo, SK Dey… - IEEE …, 2024 - ieeexplore.ieee.org
The substantial upsurge in Web 2.0 deployment allows a large number of consumers to
share their opinions with potential consumers and producers through product and service …

Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews

GS Budhi, R Chiong, Z Wang, S Dhakal - Electronic Commerce Research …, 2021 - Elsevier
The financial impact of positive reviews has prompted some fraudulent sellers to generate
fake product reviews for either promoting their products or discrediting competing products …

Opinion spam detection: Using multi-iterative graph-based model

S Noekhah, N binti Salim, NH Zakaria - Information processing & …, 2020 - Elsevier
The demand to detect opinionated spam, using opinion mining applications to prevent their
damaging effects on e-commerce reputations is on the rise in many business sectors …

Fake review detection system for online E-commerce platforms: A supervised general mixed probability approach

J Luo, J Luo, G Nan, D Li - Decision Support Systems, 2023 - Elsevier
Online consumer reviews play an important role in hel** consumers judge the quality and
authenticity of products on e-commerce platforms. However, the constant presence of fake …